As more companies roll out artificial intelligence (AI) and machine learning (ML) projects, securing them becomes more important. A report released by IBM and Morning Consult in May stated that of more than 7,500 global businesses, 35% of companies are already using AI, up 13% from last year, while another 42% are exploring it. However, almost 20% of companies say that they were having difficulties securing data and that it is slowing down AI adoption. In a survey conducted last spring by Gartner, security concerns were a top obstacle to adopting AI, tied for first place with the complexity of integrating AI solutions into existing infrastructure. According to a paper Microsoft released last spring, 90% of organizations aren't ready to defend themselves against adversarial machine learning.

Threat actors have several ways to fool or exploit artificial intelligence and machine learning systems and models, but you can defend against …